Deep Learning Software Engineer at Neighbors Quality Health Care

Bethesda, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

150000.0

Posted On

24 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, Medical Image Analysis, High-Performance Computing, Data Analysis, Classification Techniques, Machine Learning, Python, Keras, PyTorch, Statistical Analysis, Linux, Windows, GPU Clusters, Android Development, iOS Development, Web Applications

Industry

Biotechnology

Description

Overview We are seeking a Deep Learning Software Developer to support projects at the Applied Clinical Informatics Branch (ACIB), Lister Hill National Center for Biomedical Communications (LHNCBC), National Library of Medicine (NLM), National Institutes of Health (NIH). This position involves applying deep learning techniques to biomedical images and clinical data for clinical decision-making and prediction. The role focuses on the development of tools for retinal disease detection, severity classification, disease progression prediction, and more. The ideal candidate will have a strong background in deep learning, particularly for medical image analysis, and experience with high-performance computing environments. Key Responsibilities Develop deep learning models to support clinical decision-making for retinal diseases using retinal images, genomic data, and clinical records. Develop algorithms for disease detection, severity classification, and longitudinal progression prediction, focusing on retinal diseases as well as organ-transplant and COVID-19 patient data. Build and optimize deep learning tools for deployment on Android/iOS/Web-based platforms. Required Skills and Experience Ph.D. in a relevant field, or M.S. with 3+ years, or B.S. with 5+ years of relevant experience in image analysis and deep learning. Proven experience writing manuscripts or papers for journals and conferences. Extensive experience with medical image processing, data analysis, and classification techniques. Expertise in developing custom deep learning workflows, including visualizing activations. Strong understanding of machine learning techniques, including Support Vector Machines (SVM), Multilayer Perceptron (MLP), and Convolutional Neural Networks (CNNs). Proficiency in Decision Tree algorithms such as Random Forest, XGBoost, and LightGBM. Experience in statistical analysis of experimental results. Familiarity with Linux and Windows environments. Hands-on experience with high-performance GPU clusters and multi-GPU setups for deep learning tasks. Expertise in programming with Python, Keras, and PyTorch. Experience in developing Android, iOS, or web applications is a plus. Required Professional and Personal Qualities Strong organizational and time management skills, with flexibility to adapt to shifting priorities. Ability to write clean, efficient, and well-documented code. Excellent interpersonal skills, with the ability to both collaborate and work independently. Strong oral and written communication skills, with the ability to clearly document projects and provide regular status reports. Highly detail-oriented with the ability to manage multiple tasks and deliver results in a timely manner. Benefits and Salary We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. We offer a competitive salary commensurate with experience and location. The targeted range for this position is $125,000 - $150,000.

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Responsibilities

The role involves developing deep learning models to support clinical decision-making for retinal diseases and creating algorithms for disease detection and progression prediction. The candidate will also build and optimize deep learning tools for various platforms.